Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко описанная руководящая роль в известном продуктовом бренде с современным стеком и реальной ответственностью за платформу. Зарплата не указана, поэтому заранее оценить условия оплаты сложно.
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Зарплата не указанаСовременный стекПонятная зона ответственностиИзвестный брендРабота в Анси
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Platform Engineering Lead (Snowflake/dbt): Owning and evolving a reliable, scalable, and cost-efficient data platform with an accent on platform architecture, data modeling, engineering standards, and self-service foundations. Focus on defining data contracts, optimizing Snowflake and Azure consumption, building data quality and observability practices, and mentoring engineers.
Location: Hybrid, Annecy, France
Company
hirify.global is a mountain sports brand within Amer Sports, developing sporting goods including footwear, apparel, skis, bindings, and outdoor equipment.
What you will do
Own and evolve the hirify.global Data Platform architecture, analytics engineering layer, data models, and cost efficiency across dbt, Snowflake, and Azure.
Define and technically enforce data contracts between producers and consumers in collaboration with Enterprise and Data Architects and Data Governance.
Establish engineering standards for testing, CI/CD for data, code review, version control, observability, data quality, freshness, anomaly monitoring, and lineage.
Provide modeled, tested, and documented data foundations for semantic and metrics layers, supporting self-service data usage and AI/ML needs.
Lead architecture decisions, technical design reviews, delivery planning, and collaboration with IT and infrastructure stakeholders.
Mentor one internal Data Engineer and provide functional oversight for approximately 5–7 external delivery partner resources.
Requirements
8–10 years of experience in data engineering or analytics engineering, including ownership of platform-level architecture rather than only pipeline delivery.
Deep hands-on mastery of Snowflake, dbt, Airflow, and Azure.
Advanced SQL and solid software-engineering fundamentals, including testing, CI/CD, modularity, versioning, and medallion architecture.
Experience with data contracts, data quality frameworks, and observability frameworks.
Experience with cloud and data platform cost management and FinOps.
Experience in multi-market, multi-source enterprise environments.
Hands-on use of AI tools to accelerate engineering work.
Proven experience setting engineering standards adopted by a team and mentoring engineers.
Master's or Engineering degree in Computer Science, Data Engineering, Information Systems, or an equivalent field; equivalent professional experience is accepted.
Fluent English.
Culture & Benefits
Hybrid work based in Annecy, France.
Work within hirify.global's mountain sports and outdoor-focused environment.
Collaboration with internal teams, external delivery partners, IT, infrastructure, architecture, data governance, and AI/ML stakeholders.
Inclusive environment reflecting diversity as one of hirify.global's values.
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